Determining the suitable distance thresholds for optimizing functional connectivity and identifying conservation priorities of meadow in Poyang Lake, China

IF 7.3 2区 环境科学与生态学 Q1 ECOLOGY
Ecological Informatics Pub Date : 2026-05-01 Epub Date: 2026-04-22 DOI:10.1016/j.ecoinf.2026.103790
Cheng Zhang , Wenbo Chen , Fangfang Huang
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Abstract

Landscape functional connectivity and the contribution of individual patches for overall functional connectivity varies depending on species dispersal distance. Determining the suitable distance thresholds enables the detection of vulnerable landscape connections and the identification of key habitat patches. However, the selection of distance thresholds is often arbitrary, and the effects of threshold choice on the assessment of landscape functional connectivity and identification of conservation priorities for habitat patches remain largely unknown. Taking the meadow of Poyang Lake as the research object, this study firstly identified the spatial distribution of meadow at each water level. Then, functional connectivity and the importance of meadow patches were analyzed under different dispersal distances using the graph-theoretic connectivity indices and the delta value of the probability of connectivity (dPC). Finally, the suitable distance threshold was determined by means of the natural breakpoint method. Our results indicated as follows: (1) The meadow was inundated and divided by water, and its shrinkage coexisted with fragmentation as the water level rose. When the water level fell, the meadow emerged and spliced, and its expansion coincided with cohesion. (2) Landscape functional connectivity showed a positive relationship with species dispersal distance. Meadow functional connectivity increased progressively with increasing dispersal distance. A range of 600–1000 m can be selected as the suitable distance threshold for optimizing meadow functional connectivity in Poyang Lake. Within this range, meadow functional connectivity varied little, which facilitates the identification of small components and isolated patches with low resilience to environmental risks, as well as the timely detection of vulnerable landscape connections. (3) The importance of habitat patches for overall functional connectivity was highly sensitive to species dispersal distance. The importance of meadow patches exhibited spatial differentiation, with large meadow patches being highly significant and small meadow patches becoming less detectable as dispersal distance increased. A distance of 800 m was ultimately determined as the optimal threshold for identifying conservation priorities of meadow patches in Poyang Lake. At this distance, the distribution pattern of important meadow patches was stable, and both large and small meadow patches could be clearly highlighted, thereby facilitating the effective identification of key meadow patches that make vital contributions to maintaining overall functional connectivity. This study provides a scientific basis for landscape pattern optimization and habitat protection in lake areas.

Abstract Image

鄱阳湖草甸功能连通性优化的适宜距离阈值及保护重点确定
景观功能连通性和单个斑块对整体功能连通性的贡献随物种扩散距离的变化而变化。确定合适的距离阈值可以检测脆弱的景观连接和识别关键的栖息地斑块。然而,距离阈值的选择往往是任意的,并且阈值选择对景观功能连通性评估和栖息地斑块保护优先级的确定的影响在很大程度上仍然是未知的。本研究以鄱阳湖草甸为研究对象,首先确定了各水位草甸的空间分布。然后,利用图论连通性指标和连通性概率(dPC)的δ值,分析了不同分散距离下草甸斑块的功能连通性和重要性。最后,采用自然断点法确定合适的距离阈值。结果表明:(1)草甸被水淹没和分割,随着水位的上升,草甸的收缩与破碎并存。当水位下降时,草甸出现并拼接,其扩张与内聚力相吻合。(2)景观功能连通性与物种扩散距离呈正相关。随着扩散距离的增加,草甸功能连通性逐渐增强。600 ~ 1000 m范围可作为鄱阳湖草甸功能连通性优化的适宜距离阈值。在此范围内,草甸功能连通性变化不大,有利于识别对环境风险抵御能力较低的小组分和孤立斑块,也有利于及时发现脆弱景观连接。(3)生境斑块对整体功能连通性的重要性对物种扩散距离高度敏感。草甸斑块的重要性表现出空间分异,随着扩散距离的增加,大型草甸斑块的重要性显著,而小型草甸斑块的重要性逐渐降低。最终确定800 m为鄱阳湖草甸斑块保护优先度的最佳阈值。在此距离下,重要草甸斑块的分布格局较为稳定,大小草甸斑块均能清晰地突出,有利于有效识别对维持整体功能连通性有重要贡献的关键草甸斑块。该研究为湖区景观格局优化和生境保护提供了科学依据。
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来源期刊
Ecological Informatics
Ecological Informatics 环境科学-生态学
CiteScore
8.30
自引率
11.80%
发文量
346
审稿时长
46 days
期刊介绍: The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change. The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.
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